Statistical models in morphometrics: Are they realistic?

Subhash Lele, Joan T. Richtsmeier

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


This analysis considers the validity of the assumptions of the Gaussian perturbation model as applied to landmark data collected for morphometric analyses. The primary conclusion is that the assumption of homoscedasticity is unrealistic when applied to biological data sets. We also point out some important difficulties associated with alternate models.

Original languageEnglish (US)
Pages (from-to)60-69
Number of pages10
JournalSystematic Zoology
Issue number1
StatePublished - Mar 1990

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Genetics


Dive into the research topics of 'Statistical models in morphometrics: Are they realistic?'. Together they form a unique fingerprint.

Cite this